What is the activation function used in the deep neural network model for multi-class classification problems?
Tuesday, 08 August 2023
by EITCA Academy
In the field of deep learning for multi-class classification problems, the activation function used in the deep neural network model plays a crucial role in determining the output of each neuron and ultimately the overall performance of the model. The choice of activation function can greatly impact the model's ability to learn complex patterns and
What is the role of activation functions in a neural network model?
Tuesday, 08 August 2023
by EITCA Academy
Activation functions play a crucial role in neural network models by introducing non-linearity to the network, enabling it to learn and model complex relationships in the data. In this answer, we will explore the significance of activation functions in deep learning models, their properties, and provide examples to illustrate their impact on the network's performance.
- Published in Artificial Intelligence, EITC/AI/DLTF Deep Learning with TensorFlow, TensorFlow, Neural network model, Examination review
Tagged under:
Activation Functions, Artificial Intelligence, Leaky ReLU, Non-linearity, Normalization, ReLU, Sigmoid, Softmax, Tanh